All currently admitted William & Mary students interested in a business minor must apply for admission to the Undergraduate Business Program. The supply chain analytics minor requires a minimum of 19 credits hours of coursework in business analytics.
requirements for supply chain analytics minor
required courses for supply chain analytics minor
BUAD 330 - Computer Skills for Business
This course is designed to complement functional courses in the Business Core Program by providing instruction in the use of application software. Typically the course will cover presentation software, spreadsheets, and database application. Graded pass/fail.
BUAD 350 - Introduction to Business Analytics
The objective of this course is to provide students with an introduction to the concepts of business analytics, operations management and information systems. During this course, students will develop skills in analyzing business situations, developing visualization and decision models designed to effectively analyze and communicate, and to identify expected risks and benefits associated with decisions based on the models developed.
BUAD 351 - Operations Management
This course focuses on operations knowledge essential to successful management. Topics include demand forecasting, process analysis, minimizing the effects of uncertainty in supply and demand, operational decision-making and other operations topics of current interest.
BUAD 352 - Decision-making through Visualization and Simulation
The objective of this course is to provide students with advanced skills in the most common business analytics tools of the modern workplace- namely Excel and its companion programming language called Visual Basic for Applications (VBA). During this course, students will develop visualization and decision models designed to effectively communicate the meaning of complex data sets, and to identify the expected risks and returns associated with decisions about uncertain future events through the application of probability concepts and Monte Carlo simulation methods.
BUAD 461 - Lean Six Sigma Toolkit
This course focuses on developing lean processes within a variety of operating environments. Tools and strategies leading to improved process management are included. The course also focuses on Six Sigma approaches to process quality and includes emphasis on tools and procedures for implementing Six Sigma strategies within organizations.
BUAD 463 - Supply Chain Analytics
Mathematical optimization techniques and applied solutions for problems in logistics, distribution, facility location, transportation, and supply chain networks.
BUAD 465 - Supply Chain Management
Over the last five years, technology, specifically the WEB, has revolutionized the way firms do business with each other. The usual stumbling blocks of poor information availability: incompatible organizational structures and information systems, and the high cost of collaboration are being "blown to bits" by tailored supply chain initiatives and web-centric software. This course will explore these initiatives and tools that firms are using to manage supply chains and B2B integration.
Electives (Choose One)
elective courses for supply chain analytics minor
BUAD 460 - Big Data Analytics
This course is designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. Students will use the open source programming language R for the development of Data Mining (and other statistically-based) analytical solutions. No prior experience with programming is required.
BUAD 462 - Healthcare Informatics
Successful management of health delivery requires a scientific, information-driven approach. This course explores the use of information and information-based technologies to address challenges in rising costs, quality of health outcomes, and timely access to those who need healthcare. Through hands-on analysis of industry data students will diagnose issues, identify alternatives and develop a plan to deliver value-based healthcare. Topics include a comparative analysis of healthcare in other nations, digitization of health processes, health informatics exchange, accountable care organizations, and business model innovations in health sector. Students will learn about regulatory reforms in US health sector and various career opportunities in health sector.
BUAD 467 - Applied Predictive Analytics
This course focuses on solving business problems with data using predictive techniques, particularly in situations where the problem statement is ambiguous. The course covers five integral elements of analysis including:
General problem framing
Framing analytics problems
Managing, evaluating and cleaning data
Model building/ reporting
This approach enables students to experience a predictive business analytics problem from start to finish with a particular emphasis on providing, receiving and implementing feedback for improvement.
BUAD 468 - Prescriptive Analytics
This course focuses on solving business problems using prescriptive techniques. The course covers optimization models, including linear programming, and simulation models, including Monte Carlo simulation. This course will focus on how prescriptive modeling techniques can be used to make decisions for different business applications.
BUAD 469 - Advanced Modeling Techniques
This course is designed to provide students with the skills necessary to develop advanced decision models using a variety of programming and database tools. These models apply concepts from probability theory and statistical inference across a broad range of business disciplines. Particular emphasis is placed on the development of Monte Carlo simulations models.
BUAD 482 - Project Management
This course will focus on the concepts and tools related to the management of projects within organizations. Students will examine all phases of project management including selection, planning, scheduling, control, and termination. Topics include writing project plans, developing work breakdown structures, project scheduling, resource management, earned value analysis, and project risk management.